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Bryson Tang

Systems Architect & Researcher

Welcome to my digital study. I build microscopes, then look through them.

In an era of black boxes and ephemeral feeds, this site serves as a permanent archive of my work across AI Research, Experimental Frameworks, and Generative Art.

This space is built for both humans and AI agents. Structured data, semantic markup, and a queryable MCP endpoint mean this site can be read, not just scraped. It is designed to be visited, not consumed.

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Current Investigation

  • Superposition: Reproducing Anthropic's Towards Monosemanticity — understanding how features compress.
  • Sparse Autoencoders: Building interpretable feature decomposition on small transformers.
  • Experimental Rigor: Building frameworks that treat experiments as immutable graphs.
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Research & Foundations

  • Synapse — Research spike validating that Crystallize + LLM-assisted development enables rapid hypothesis iteration. The loop is the artifact. [GitHub]
  • Crystallize — Rigorous experimental framework for data science with immutable contexts and statistical verification. [GitHub]
  • Agent Tokens Protocol — Cryptographic standard for AI agent identity and provenance. agenttokens.org
  • Kern — Event-driven ML architecture handling 525K requests/month. Kafka + Redis + FastAPI enabling long-running agentic workflows.
  • Project EVE — Co-author, IEEE Xplore. Novel launchsondes for atmospheric data collection. [Paper]
  • BlueDot AI Safety Fundamentals — Alignment track certification (2024). [Verify]
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Quick Facts

Q: What is Bryson Tang's expertise?
AI Systems Architecture and Research Engineering. Focus on fast-weight architectures, experimental rigor, agent identity protocols, and AI safety. Currently Chief AI Officer at CazVid, running Palmera Labs (internal R&D).
Q: What is Synapse?
A research spike that validates my workflow: Crystallize (framework) → hypothesis (fast weights) → LLM-assisted implementation → verification → iterate. The loop is the artifact, not just the code.
Q: What is the Agent Tokens Protocol?
A cryptographic protocol for agent provenance. Formalizes identity via digital signatures rather than heuristic detection, applying distributed systems theory to the emerging agent ecosystem.
Q: What is Resume MCP?
A Model Context Protocol server that exposes professional identity as a queryable API. AI agents can call tools like get_profile(), get_projects(), and get_experience() instead of scraping web pages. Live at mcp.brysontang.com.
Q: Is Bryson available for hire?
Yes. Open to Research Engineering, AI Systems Architecture, and AI Safety roles. Hybrid or remote. View full resume or contact directly.
Q: How can AI agents interact with this site?
Connect to the MCP endpoint at mcp.brysontang.com, read /llms.txt for structured info, or check /.well-known/agents.json for capabilities.
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Paste into ChatGPT, Claude, etc. to ask questions about me.

AI Agents: For structured data, fetch ?agent=true or query mcp.brysontang.com